Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Cloud Computing

El-Sharkawi, Abdelfattah; Shouman, Ahmed; Lasheen, Sayed

doi:10.5815/ijitcs.2013.07.02

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Remote sensing satellite TM data has been implemented on cloud computing in our previous work [12] and in the following paragraph, we are going to present a comparative study of grid model presented in this paper to that of cloud model. Compared to cloud model, grid model introduces a difference concerning the following measures:…”

Section: Comparative Studymentioning

confidence: 99%

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Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Grid Computing

El-Sharkawi¹,

Shouman²,

Lasheen³

2013

IJCA

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Section: Comparative Studymentioning

confidence: 99%

“…Remote sensing satellite TM data has been implemented on the cloud computing in our previous work [12] and in this paper we will implement it on the grid computing, hence, comparative study will be done with cloud computing implementation to show the value of the research.…”

Section: Introductionmentioning

confidence: 99%

Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Grid Computing

El-Sharkawi¹,

Shouman²,

Lasheen³

2013

IJCA

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“…Moreover the GUI code is entangled with the logic of the computation engine and provides a custom interface by providing a set of parameters as an input to the computation routines. The introduction of Service Oriented Architecture (SOA) practices in the remote sensing realm is relatively new (El-Sharkawi et al, 2013). Modern execution environments, like cloud platforms or numerical computation Domain Specific Languages (DSLs), like Modelica, are not able to create value from the research work in the codebase mostly due to a monolithic, standards incompliant approach.…”

Section: Introductionmentioning

confidence: 99%

A modernized version of a 1D soil vegetation atmosphere transfer model for improving its future use in land surface interactions studies

Anagnostopoulos¹,

Petropoulos

Ireland

et al. 2017

Environmental Modelling & Software

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SimSphere is a land biosphere model that provides a mathematical representation of vertical ?views? of the physical mechanisms controlling Earth's energy and mass transfers in the soil/vegetation/atmosphere continuum. Herein, we present recent advancements introduced to SimSphere code, aiming at making its use more integrated to the automation of processes within High Performance Computing (HPC) that allows using the model at large scale. In particular, a new interface to the model is presented, so-called ?SimSphere-SOA? which forms a command line land biosphere tool, a Web Service interface and a parameters verification facade that offers a standardised environment for specification execution and result retrieval of a typical model simulation based on Service Oriented Architecture (SOA). SimSphere-SOA library can now execute various simulations in parallel. This allows exploitation of the tool in a simple and efficient way in comparison to the currently distributed approach. In SimSphere-SOA, an Application Programming Interface (API) is also provided to execute simulations that can be publicly consumed. Finally this API is exported as a Web Service for remotely executing simulations through web based tools. This way a simulation by the model can be executed efficiently and subsequently the model simulation outputs may be used in any kind of relevant analysis required. The use of these new functionalities offered by SimSphere-SOA is also demonstrated using a ?real world? simulation configuration file. The inclusion of those new functions in SimSphere are of considerable importance in the light of the model's expanding use worldwide as an educational and research tool.Peer reviewe

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“…For example, space situational awareness (SSA) program in European space agency (ESA) and the Egyptian space program use cloud computing for telemetry processing [7]. It enables software and hardware decoupling and makes flexible telemetry data analysis possible.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Distributed Measurement Data Gathering about Moving Objects

Kholod

Plokhoy

Shorov

2017

Wireless Communications and Mobile Computing

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This paper describes approaches to gathering measurement data about moving objects in networks with low bandwidth. The first approach uses Fog computing conception and suggests moving assessing the quality of the measurement data into measuring points. The second approach uses prediction of telemetry quality by mining models. In addition, the paper presents implementation of these approaches based on actor model. As a result, it became possible not only to load balancing among edge and cloud nodes, but also to significantly reduce the network traffic, which in turn brings the possibility of decreasing the requirements for communication channels bandwidth and of using wireless networks for gathering measurement data about moving objects.

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Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Cloud Computing

Cited by 8 publications

References 6 publications

Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Grid Computing

Service Oriented Architecture for Remote Sensing Satellite Telemetry Data Implemented on Grid Computing

A modernized version of a 1D soil vegetation atmosphere transfer model for improving its future use in land surface interactions studies

Distributed Measurement Data Gathering about Moving Objects

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